{"id":1303,"date":"2022-09-16T14:36:10","date_gmt":"2022-09-16T14:36:10","guid":{"rendered":"https:\/\/gyrus.ai\/blog\/?p=1303"},"modified":"2023-07-21T04:59:49","modified_gmt":"2023-07-21T04:59:49","slug":"pii-video-anonymization-protect-privacy-monetize-data","status":"publish","type":"post","link":"https:\/\/gyrus.ai\/blog\/pii-video-anonymization-protect-privacy-monetize-data\/","title":{"rendered":"Video Anonymization: Protect Privacy and Monetize Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1303\" class=\"elementor elementor-1303\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5c168266 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5c168266\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4c9324fa\" data-id=\"4c9324fa\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-de99592 elementor-widget elementor-widget-text-editor\" data-id=\"de99592\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div id=\"view1\" class=\"show\" style=\"text-align: left;\"><h1><span style=\"color: #000000;\">Introduction<\/span><\/h1><p><span style=\"color: #000000;\">The global video surveillance market is likely to gain momentum from the increasing usage of deep learning technology in Smart City, Healthcare, Retail, and Autonomous vehicles. The recently published report by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fortune_(magazine)\" target=\"_blank\" rel=\"noopener\">Fortune Business Insights\u2122<\/a>, titled, Forecast, 2021-2026 mentions that the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Artificial_intelligence_for_video_surveillance\"><strong>video surveillance market<\/strong> <\/a>size was USD 19.12 billion in 2018 and is projected to reach USD 33.60 billion by 2026, exhibiting a CAGR of 6.8% during the forecast period. However, most of the data collected contain sensitive Personally Identifiable Information (PII) and cannot be utilized commercially due to restrictive privacy regulations like <strong>GDPR, CCPA, PDPA, FOIA<\/strong>, etc.<\/span><\/p><p><span style=\"color: #000000;\">Gyrus utilizing the most advanced computer vision and deep-learning techniques has built different levels of proprietary <a href=\"https:\/\/gyrus.ai\/products\/video-anonymization\" target=\"_blank\" rel=\"noopener\">Video Anonymization algorithms<\/a>. This empowers the companies to ensure both privacy &amp; monetize the video data in compliant with these regulations. The PII free videos can be used freely for training, inference, sharing, etc.<\/span><\/p><p><span style=\"color: #000000;\">In this blog, we will discuss how can personal &amp; sensitive data in the video be truly anonymized by processing every element in every video frame.\u00a0 \u00a0 \u00a0<\/span><\/p><p><span style=\"color: #000000;\"><b>The three different levels of anonymizations are:<\/b><\/span><\/p><ul><li><span style=\"color: #000000;\">Mask out Faces<\/span><\/li><li><span style=\"color: #000000;\">Blur Faces with Intelligent Filters<\/span><\/li><li><span style=\"color: #000000;\">Replace Faces with Synthetic Characters\u00a0<\/span><\/li><\/ul><p><a href=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/gif-1-1-2.gif\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-1420 \" title=\"PII Video Anonymization\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/gif-1-1-2.gif\" alt=\"PII Video Anonymization\" width=\"392\" height=\"451\" \/><\/a><\/p><h3><strong><span style=\"color: #000000;\">How it works?<\/span><\/strong><\/h3><p><span style=\"color: #000000;\">In the first two levels, the model auto-detects the objects of the selected type (faces, number plates etc.) and masks out or blurs the objects. The Face replacement model is an enhanced<b><a href=\"https:\/\/gyrus.ai\/products\/video-anonymization\" target=\"_blank\" rel=\"noopener\"> video anonymization model<\/a> <\/b>used to superimpose the specified object in the source video or image with a synthetic character or 3D model to protect sensitive information and analyze human behavior.<\/span> <span style=\"color: #000000;\">It replaces facial features whilst retaining demographic traits, emotion etc. The model can also remove other <a href=\"https:\/\/en.wikipedia.org\/wiki\/Personal_data\" target=\"_blank\" rel=\"noopener\">Personally Identifiable Information (PII)<\/a>, such as license plates, email addresses, phone numbers, etc, with computer-generated face &amp; data to ensure privacy compliance. The PII anonymized video can be used freely for storing, training, inference, sharing, etc.\u00a0\u00a0<\/span><img decoding=\"async\" class=\"aligncenter wp-image-1378\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/smart01-2.jpg\" alt=\"PII Video Anonymization Workflow\" width=\"502\" height=\"386\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/smart01-2.jpg 961w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/smart01-2-300x231.jpg 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/smart01-2-768x591.jpg 768w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/smart01-2-535x411.jpg 535w\" sizes=\"(max-width: 502px) 100vw, 502px\" \/>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<b>Video Anonymization Workflow<\/b><\/p><\/div><h3><strong><span style=\"color: #000000;\">1. Mask Out Face<\/span><\/strong><\/h3><div><span style=\"color: #000000;\">This model tackles the problem of temporally coherent face anonymization in natural <a href=\"https:\/\/gyrus.ai\/blog\/reduce-cost-and-monetize-video-streaming-with-ai-ml-technology\/\"><strong>video streams.<\/strong><\/a> It\u2019s a two-stage process, starting with detecting and then masking out faces with black\/white image patches in all individual frames of the video. This is a simple model that can be used in edge devices also.<\/span><\/div><p><img decoding=\"async\" class=\"aligncenter wp-image-1314 \" style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1.5rem;\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/Input-1.png\" alt=\"Maskout Faces\" width=\"523\" height=\"284\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/Input-1.png 850w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/Input-1-300x163.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/Input-1-768x417.png 768w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/Input-1-535x291.png 535w\" sizes=\"(max-width: 523px) 100vw, 523px\" \/><b style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1.5rem;\"><span style=\"color: #000000;\">2. Blur Faces with Intelligent Filters<\/span><\/b><\/p><p><span style=\"color: #000000;\">This is another simple model that identifies the faces and applies a filter on them like a low pass filter to reduce the resolution of the faces. The Face blur feature is implemented using four step process\u00a0<\/span><\/p><div><p><span style=\"color: #000000;\">First the face is detected in the video stream or in a still image using object detection <a href=\"https:\/\/gyrus.ai\/blog\/quantization-of-neural-network-model-for-ai-hardware\/\"><strong>neural network model<\/strong><\/a>. Once a face has been detected, the model extracts the region of interest and draw bounding box. Then, the model adds a layer that blurs or pixelates the detected faces. And the final stage is to store the blurred face back in the original image. At this stage, the person\u2019s face can no longer be seen by the human eye.<br \/><\/span><\/p><div><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1315 aligncenter\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/image_2022_09_05T05_46_50_136Z-1.png\" alt=\"Face Blur with intelligent filters\" width=\"511\" height=\"332\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/image_2022_09_05T05_46_50_136Z-1.png 925w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/image_2022_09_05T05_46_50_136Z-1-300x195.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/image_2022_09_05T05_46_50_136Z-1-768x499.png 768w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/image_2022_09_05T05_46_50_136Z-1-535x348.png 535w\" sizes=\"(max-width: 511px) 100vw, 511px\" \/><\/div><\/div><h3><strong><span style=\"color: #000000;\">3. Replace Faces with Synthetic Characters<\/span><\/strong><\/h3><div><div><span style=\"color: #000000; font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-weight: var( --e-global-typography-text-font-weight ); font-size: 1rem;\">The people in the video streams are replaced with synthetic characters while maintaining the demographics, facial movements, key attributes and expression deformations.<\/span><\/div><div><p><span style=\"color: #000000;\">The people in the camera feed are classified by various demographics such as Age, Gender, Ethnicity, height\/weight\/face shape, and a specific<strong> replacement synthetic character<\/strong> is chosen.<\/span> <span style=\"color: #000000;\">The first stage of the model is to detect all the faces in the image capture and detect their sizes. As a next step, within each detected face, the following attributes are measured<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\">Jaw Line<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\">Orientation of the face (x, y, z)<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\">Face Features (that carry emotion)<\/span><\/li><\/ul><p><span style=\"color: #000000;\">With these features and the replacement model an output video stream is generated using various <a href=\"https:\/\/gyrus.ai\/blog\/impact-of-ai-and-ml-on-video-streaming-devices-for-better-tv-experience\/\"><strong>ML\/AI Models<\/strong><\/a>. In output video, faces are replaced with the AI-generated, photorealistic faces of non-existent people.<\/span> <span style=\"color: #000000;\">The anonymized faces retain a natural complexion and preserve key non-identifying attributes of the original face including age, gender, expression, gaze direction, and more, allowing for analysis while adhering to privacy laws and regulations. This technique is far superior to legacy solutions that rely on blurring or pixelation. The replaced video stream can be freely used for post-processing such as gaze detection, emotion detection, dwell times, etc.<\/span><\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1344 aligncenter\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2_final-1.gif\" alt=\"Replace Faces with Synthetic Characters\" width=\"580\" height=\"163\" \/><\/p><\/div><h3><span style=\"color: #000000;\"><b>Applications:\u00a0<\/b><\/span><\/h3><div><span style=\"color: #000000;\">Video Anonymization models clubbed with <a href=\"https:\/\/gyrus.ai\/blog\/smart-retail-location-point-of-sale-analytics-camera\/\"><strong>Gyrus Smart retail model<\/strong><\/a> offer retail customers advanced visual intelligence that helps in understanding customer behavior and activity without compromising privacy. This solution supports massive sales growth and optimizes operational efficiency. In the healthcare &amp; surveillance industry, Video anonymization models protect identities, manage &amp; control crowd, and give access to street views and city statistics without compromising privacy regulations.<\/span><\/div><div><span style=\"color: #000000;\"> In Automotive applications, the model can anonymize faces (pedestrians) and license plates by generating synthetic character replacements. The solution can be used for training machine learning models for autonomous driving without compromising data quality.<\/span><\/div><div>\u00a0<\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a02bf12 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a02bf12\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-2afcb0b\" data-id=\"2afcb0b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7639fe1 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7639fe1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Retail<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e251531 elementor-widget__width-auto elementor-widget elementor-widget-image\" data-id=\"e251531\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/1-icon-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-image-1400\" alt=\"Retail\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/1-icon-150x150.png 150w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/1-icon-300x300.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/1-icon.png 500w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/1-icon-256x256.png 256w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03bb0c5 elementor-widget elementor-widget-text-editor\" data-id=\"03bb0c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: left;\"><span style=\"color: #000000; font-size: 14px;\">Customer Intelligence &amp; Activity Analysis<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-901c463\" data-id=\"901c463\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72bb172 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"72bb172\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Surveillance<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6cb6b78 elementor-widget__width-auto elementor-widget elementor-widget-image\" data-id=\"6cb6b78\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2-icon-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-image-1399\" alt=\"Surveillance\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2-icon-150x150.png 150w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2-icon-300x300.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2-icon.png 500w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/2-icon-256x256.png 256w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41a1d71 elementor-widget elementor-widget-text-editor\" data-id=\"41a1d71\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000; font-size: 14px;\">Privacy Compliant Intelligent Video Analytics<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-a55ad03\" data-id=\"a55ad03\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9c597b6 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"9c597b6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Healthcare<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85778d2 elementor-widget__width-auto elementor-widget elementor-widget-image\" data-id=\"85778d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/3-icon-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-image-1398\" alt=\"Healthcare\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/3-icon-150x150.png 150w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/3-icon-300x300.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/3-icon.png 500w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/3-icon-256x256.png 256w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b043d83 elementor-widget elementor-widget-text-editor\" data-id=\"b043d83\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000; font-size: 14px; text-align: center;\">Privacy Protection of sensitive data<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-f8700f9\" data-id=\"f8700f9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d251aa9 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"d251aa9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Automotive<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a926b3f elementor-widget__width-auto elementor-widget elementor-widget-image\" data-id=\"a926b3f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/4-icon--150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-image-1397\" alt=\"Automotive\" srcset=\"https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/4-icon--150x150.png 150w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/4-icon--300x300.png 300w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/4-icon-.png 500w, https:\/\/gyrus.ai\/blog\/wp-content\/uploads\/2022\/09\/4-icon--256x256.png 256w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c03ed17 elementor-widget elementor-widget-text-editor\" data-id=\"c03ed17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000; font-size: 14px;\">Training ML models for autonomous vehicle<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a9b5dfb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a9b5dfb\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5d34835\" data-id=\"5d34835\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-53fc294 elementor-widget elementor-widget-text-editor\" data-id=\"53fc294\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3 dir=\"ltr\" style=\"line-height: 1.2; background-color: #ffffff; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 20pt; font-family: Calibri,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Conclusion<\/span><\/h3><div><p style=\"color: #7a7a7a; font-family: Roboto, sans-serif; font-size: 16px; font-weight: 400; white-space: normal;\"><span style=\"color: #000000;\">Data privacy laws put onerous restrictions in using the collected data from cameras in stores etc. Gyrus developed three different models to cleanse the data and make it free to use. Off these, the Face replacement model is an enhanced<span style=\"font-weight: bold;\">\u00a0<a href=\"https:\/\/gyrus.ai\/products\/video-anonymization\">video anonymization model<\/a>\u00a0<\/span>used to superimpose the specified object in the source video or image with a synthetic character or <strong>3D model<\/strong> to protect sensitive information and analyze human behavior.<\/span>\u00a0<span style=\"color: #000000;\">It replaces facial features and other Personally Identifiable Information (PII), including license plates, email addresses, phone numbers, etc, with computer-generated face &amp; data to ensure immediate privacy compliance. The PII anonymized video can be used freely for storing, training, inference, sharing, etc.\u00a0\u00a0<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Introduction The global video surveillance market is likely to gain momentum from the increasing usage of &hellip; <a title=\"Video Anonymization: Protect Privacy and Monetize Data\" class=\"hm-read-more\" href=\"https:\/\/gyrus.ai\/blog\/pii-video-anonymization-protect-privacy-monetize-data\/\"><span class=\"screen-reader-text\">Video Anonymization: Protect Privacy and Monetize Data<\/span>Read more<\/a><\/p>\n","protected":false},"author":5,"featured_media":1351,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[6],"tags":[91,63,55,90,92],"class_list":["post-1303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai-blur-faces","tag-ai-in-video-streaming","tag-neural-network-models","tag-video-anonymization","tag-video-surveillance"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Automated Video Anonymization: Protect Privacy and Monetize Data- Gyrus AI<\/title>\n<meta name=\"description\" content=\"Gyrus AI using the most advanced computer vision and deep-learning techniques has built a different level of proprietary PII Automated Video Anonymization algorithms to anonymize sensitive data &amp; 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